環保專案成果報告查詢系統

專案計畫編號
經費年度	107
計畫經費	3,230 千元
專案開始日期	2018/07/11
專案結束日期	2018/12/31
專案主持人	羅曉雲
主辦單位	嘉義縣環境保護局
承辦人	汪廷蔚
執行單位	亞太電信股份有限公司
專案分類	環境監測及檢測
中文關鍵字	細懸浮微粒、揮發性有機物、物聯網
英文關鍵字	PM2.5、VOCS、IoT
協同主持人
共同主持人
計畫聯絡人	蕭安國
計畫聯絡電話	0985-228899#
計畫聯絡信箱	a3751458@hotmail.com

中文摘要	本計畫規劃嘉義縣空氣品質感測物聯網，於本縣民雄及頭橋工業區與鄰近社區布建100個空氣品質感測器，以鑑別空氣污染來源。8月30日前全數感測器通過嘉義測站一致性比對並布建完成，9月30日前完成數據上傳完整率達90%以上。9月至11月完成現場巡檢比對作業。依據9月至12月累積監測數據，結合環保署環境感測物聯網平台及本團隊之Smart Air平台網頁分析工具，蒐集分析小尺度空氣品質變化以供未來管制策略參考依據。對於突發異常事件，可透過Smart Air PM2 . 5 5分鐘即時區域標準差凸波高值門檻告警機制，快速掌握異常高值，再連動時空分析工具，以區別是否有污染擴散或僅單點瞬間異常高值。本團隊使用之VOC 感測器，對於易發生氧化還原的氣體物種容易發生指標反應，對於常態高值區，透過蒐集各個感測器的VOC月均值，以區域為單位，換算感測器的VOC月均值Z分數後，篩選0.5個標準差的感測器為高值熱區，對於連續2~3個月都出現在高值熱區的感測器，可列為進一步分析管制之參考。
中文關鍵字	細懸浮微粒、揮發性有機物、物聯網

中文摘要

本計畫規劃嘉義縣空氣品質感測物聯網，於本縣民雄及頭橋工業區與鄰近社區布建100個空氣品質感測器，以鑑別空氣污染來源。8月30日前全數感測器通過嘉義測站一致性比對並布建完成，9月30日前完成數據上傳完整率達90%以上。9月至11月完成現場巡檢比對作業。依據9月至12月累積監測數據，結合環保署環境感測物聯網平台及本團隊之Smart Air平台網頁分析工具，蒐集分析小尺度空氣品質變化以供未來管制策略參考依據。對於突發異常事件，可透過Smart Air PM2 . 5 5分鐘即時區域標準差凸波高值門檻告警機制，快速掌握異常高值，再連動時空分析工具，以區別是否有污染擴散或僅單點瞬間異常高值。本團隊使用之VOC 感測器，對於易發生氧化還原的氣體物種容易發生指標反應，對於常態高值區，透過蒐集各個感測器的VOC月均值，以區域為單位，換算感測器的VOC月均值Z分數後，篩選0.5個標準差的感測器為高值熱區，對於連續2~3個月都出現在高值熱區的感測器，可列為進一步分析管制之參考。

中文關鍵字

細懸浮微粒、揮發性有機物、物聯網

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	107年度嘉義縣空氣品質感測物聯網發展布建計畫-期末定稿.pdf	6MB		2019/4/27 上午 12:00:00

摘要	The project deploys 100 air quality sensors in the Minxiong and Touqiao Industrial Zo nes and neighboring communities in the Chiayi County to identify pollution sources. Before August 30, all the sensors are passed the precision comparison with EPA Chiayi station and completed the deployment based on the approved detailed plan . The monitoring data uploading rate is above 90% during September. The on-site side-by-side parallel comparison operations are completed from September to November. Based on the cumulative monitoring data from September to December, combined with the EPA IoT platform and the Smart Air web analysis tool, the small -scale air quality status are collected and analyzed for future reference. For abnormal events, we can quickly grasp the abnormal high value through the Smart Air PM2.5 5-minute real-time regional standard deviation with high-value threshold alarm mechanism, and then automatically link the spacetime analysis tool to distinguish whether there is pollution diffusion or only a local temporary abnormality. The VOC sensor used is sensitive for the organic compound gas species which is prone to redox reactions. We can identify the general VOCs high value region by calculating the monthly average value of the VOC for each sensor and converting to statistics Z score. The sensors with Z score above the 0.5 standard deviation are classified as the high value hot zones. For the sensors that are classified as the high value hot zones for 2 or 3 months, those zones can be listed as a reference for further analysis and control.
英文關鍵字	PM2.5、VOCS、IoT

摘要

The project deploys 100 air quality sensors in the Minxiong and Touqiao Industrial Zo nes and neighboring communities in the Chiayi County to identify pollution sources. Before August 30, all the sensors are passed the precision comparison with EPA Chiayi station and completed the deployment based on the approved detailed plan . The monitoring data uploading rate is above 90% during September. The on-site side-by-side parallel comparison operations are completed from September to November. Based on the cumulative monitoring data from September to December, combined with the EPA IoT platform and the Smart Air web analysis tool, the small -scale air quality status are collected and analyzed for future reference. For abnormal events, we can quickly grasp the abnormal high value through the Smart Air PM2.5 5-minute real-time regional standard deviation with high-value threshold alarm mechanism, and then automatically link the spacetime analysis tool to distinguish whether there is pollution diffusion or only a local temporary abnormality. The VOC sensor used is sensitive for the organic compound gas species which is prone to redox reactions. We can identify the general VOCs high value region by calculating the monthly average value of the VOC for each sensor and converting to statistics Z score. The sensors with Z score above the 0.5 standard deviation are classified as the high value hot zones. For the sensors that are classified as the high value hot zones for 2 or 3 months, those zones can be listed as a reference for further analysis and control.

英文關鍵字

PM2.5、VOCS、IoT